Title :
Thermal infrared hyperspectral dimension reduction experiment results for global and local information based linear discriminant analysis
Author_Institution :
TUBITAK UZAY, ODTU Yerleskesi, Ankara, Turkey
Abstract :
Thermal infrared hyperspectral image processing has become an important research topic in remote sensing. One of the research topics in thermal infrared hyperspectral image classification is dimension reduction. In this paper, thermal infrared hyperspectral dimension reduction experiment results for global and local information based linear discriminant analysis is presented. Advantages of the use of not only global pattern information, but also local pattern information are tested in thermal infrared hyperspectral image processing.
Keywords :
geophysical image processing; image classification; remote sensing; dimension reduction; global pattern information; image classification; linear discriminant analysis; local pattern information; remote sensing; thermal infrared hyperspectral image processing; Data integration; Hyperspectral imaging; Linear discriminant analysis; Pattern recognition; Principal component analysis; Thermal analysis; dimension reduction; linear discriminant analysis; thermal infrared hyperspectral image processing;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129811
